Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more

Reply
AllanBerces
Post Prodigy
Post Prodigy

Sum - Calculated Column

Hi good day,

Can anyone help me on my calculated column on how to arrived on my desired outcome.

Current Table

AllanBerces_1-1723367882173.png

 

Desired Outcome adding calculated column

AllanBerces_2-1723367911207.png

 

Thank you

1 ACCEPTED SOLUTION
Jihwan_Kim
Super User
Super User

Hi,

Please try something like below (the picture and the attached pbix file).

 

Jihwan_Kim_0-1723368846027.png

 

 

desired outcome CC = 
SUMX (
    FILTER (
        SUMMARIZECOLUMNS (
            data[date],
            data[location],
            data[trade],
            data[week_no],
            data[count]
        ),
        data[date] = EARLIER ( data[date] )
            && data[location] = EARLIER ( data[location] )
    ),
    data[count]
)

 


If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


Click here to visit my LinkedIn page

Click here to schedule a short Teams meeting to discuss your question.

View solution in original post

5 REPLIES 5
dvraan
Frequent Visitor

CALCULATE(SUMX(DISTINCT(data[count]), data[count]), ALLEXCEPT(data, data[date], data[location]))

 

But i suggest to use Remove duplicate in power query 

 

CALCULATE(SUM(data[count]), ALLEXCEPT(data, data[date], data[location]))

 

Jihwan_Kim
Super User
Super User

Hi,

Please try something like below (the picture and the attached pbix file).

 

Jihwan_Kim_0-1723368846027.png

 

 

desired outcome CC = 
SUMX (
    FILTER (
        SUMMARIZECOLUMNS (
            data[date],
            data[location],
            data[trade],
            data[week_no],
            data[count]
        ),
        data[date] = EARLIER ( data[date] )
            && data[location] = EARLIER ( data[location] )
    ),
    data[count]
)

 


If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


Click here to visit my LinkedIn page

Click here to schedule a short Teams meeting to discuss your question.

CALCULATE(SUMX(DISTINCT(data[count]), data[count]), ALLEXCEPT(data, data[date], data[location]))

 

But I suggest Remove duplicate in power query 

 

CALCULATE(SUM(data[count]), ALLEXCEPT(data, data[date], data[location]))

HI @Jihwan_Kim if you dont mine how can i chage the solution in to Measure.

 

Thank you

Hi @Jihwan_Kim Thank you very much you save my day.

Helpful resources

Announcements
Power BI DataViz World Championships

Power BI Dataviz World Championships

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!

December 2025 Power BI Update Carousel

Power BI Monthly Update - December 2025

Check out the December 2025 Power BI Holiday Recap!

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.

Top Solution Authors